Senior AI Research Leader - LLMs, Safety & Multimodal

Google DeepMind; Mountain View (CA); Presencial; USD 262.000 - 364.000; Jornada completa

Descripción de la vacante

Google DeepMind is a pioneering AI lab whose interdisciplinary teams push the boundaries of safe and impactful AI for billions of users. We are seeking a Senior Research Manager to lead research strategy in safety, alignment, and ML across LLMs, RL, and multimodal models, while guiding a team of researchers and engineers.

This role focuses on translating scientific advances into responsible product-scale solutions and shaping the frontier of AI safety.

Formación

• PhD or equivalent practical research experience.
• 5 years of technical leadership experience setting direction and guiding project workstreams.
• 5 years in people management, supervision, or team leadership.
• 5 years in ML, specializing in LLMs, multimodal models, or RL with safety/alignment.
• At least one peer‑reviewed publication or public preprint.

Responsabilidades

• Define architectural strategy for safety interventions across multimodal foundation models.
• Advance post-training methods across media types to ensure alignment with new prompting capabilities.
• Shape intrinsic model behavior to refuse severe harms while delivering high-quality, controllable outputs.
• Partner with cross-functional teams to translate serving-time classifiers into training rewards and expand the safety and quality frontier.
• Manage a team of 10+ researchers and engineers, modeling scientific excellence and building a collaborative culture.

Conocimientos

Technical leadership

Machine learning

LLMs

Reinforcement learning

Safety & alignment

Educación

PhD or equivalent

Descripción del empleo

Google DeepMind is a pioneering AI lab whose interdisciplinary teams push the boundaries of safe and impactful AI for billions of users. We are seeking a Senior Research Manager to lead research strategy in safety, alignment, and ML across LLMs, RL, and multimodal models, while guiding a team of researchers and engineers.

This role focuses on translating scientific advances into responsible product-scale solutions and shaping the frontier of AI safety.